- ActivityVideoPublisher renders animated orb on 160x120 canvas - Integrated into both agent.py and voice.py - Updates confluence-collab submodule
162 lines
5.2 KiB
Python
162 lines
5.2 KiB
Python
"""Activity video track — pulsing orb (lightweight).
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Small 160x120 canvas, only renders pixels near the orb.
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LiveKit/browser upscales. Minimal CPU on both server and client.
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"""
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import asyncio
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import math
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import random
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import logging
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import time
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import struct
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from livekit.rtc import VideoSource, VideoFrame, VideoBufferType
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logger = logging.getLogger("activity-video")
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WIDTH = 160
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HEIGHT = 120
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FPS = 15
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BPP = 4
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CX, CY = WIDTH // 2, HEIGHT // 2
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BG = (12, 12, 28)
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STATE_COLORS = {
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"listening": (40, 120, 255),
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"thinking": (100, 60, 255),
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"speaking": (30, 200, 255),
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"initializing": (40, 60, 120),
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}
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_BG_PIXEL = struct.pack('BBBB', *BG, 255)
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_BG_FRAME = _BG_PIXEL * (WIDTH * HEIGHT)
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# Pre-compute distance from center — only within max possible glow radius
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MAX_ORB = 45 # max orb radius at full energy
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MAX_GLOW = int(MAX_ORB * 2.5) + 5
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# Store sparse: list of (pixel_index, distance) for pixels within MAX_GLOW of center
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_PIXELS = []
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for _y in range(max(0, CY - MAX_GLOW), min(HEIGHT, CY + MAX_GLOW + 1)):
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dy = _y - CY
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for _x in range(max(0, CX - MAX_GLOW), min(WIDTH, CX + MAX_GLOW + 1)):
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dx = _x - CX
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d = math.sqrt(dx * dx + dy * dy)
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if d <= MAX_GLOW:
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_PIXELS.append((_y * WIDTH + _x, d))
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class ActivityVideoPublisher:
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def __init__(self):
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self.source = VideoSource(WIDTH, HEIGHT)
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self._state = "initializing"
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self._stopped = False
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self._pulse = 0.0
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self._energy = 0.0
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self._target_energy = 0.0
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self._color = list(STATE_COLORS["initializing"])
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self._target_color = list(STATE_COLORS["initializing"])
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self._ring_phase = 0.0
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def set_state(self, state: str):
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if self._state != state:
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logger.info("Activity video state: %s -> %s", self._state, state)
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self._state = state
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self._target_color = list(STATE_COLORS.get(state, STATE_COLORS["initializing"]))
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def stop(self):
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self._stopped = True
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def _update(self, t: float):
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state = self._state
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for i in range(3):
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self._color[i] += (self._target_color[i] - self._color[i]) * 0.08
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if state == "listening":
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self._target_energy = 0.3
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self._pulse = 0.5 * math.sin(t * 1.5) + 0.5
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elif state == "thinking":
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self._target_energy = 0.6
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self._pulse = 0.5 * math.sin(t * 3.0) + 0.5
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elif state == "speaking":
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self._target_energy = 0.9 + random.uniform(-0.1, 0.1)
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self._pulse = 0.5 * math.sin(t * 6.0) + 0.5 + random.uniform(-0.15, 0.15)
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else:
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self._target_energy = 0.15
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self._pulse = 0.3
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self._energy += (self._target_energy - self._energy) * 0.12
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self._ring_phase = t
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def _render_frame(self) -> bytearray:
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buf = bytearray(_BG_FRAME)
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r, g, b = self._color
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energy = self._energy
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pulse = self._pulse
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bg_r, bg_g, bg_b = BG
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base_radius = 15 + 8 * energy
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orb_radius = base_radius + 4 * pulse * energy
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glow_radius = orb_radius * 2.5
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inv_orb = 1.0 / max(orb_radius, 1)
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glow_span = glow_radius - orb_radius
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inv_glow = 1.0 / max(glow_span, 1)
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ring_active = self._state == "speaking"
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if ring_active:
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ring1_r = orb_radius + ((self._ring_phase * 30) % glow_span)
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ring2_r = orb_radius + ((self._ring_phase * 30 + glow_span * 0.5) % glow_span)
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for idx, dist in _PIXELS:
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if dist > glow_radius:
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continue
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if dist <= orb_radius:
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f = dist * inv_orb
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brightness = 1.0 - 0.3 * f * f
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white = max(0.0, 1.0 - f * 2.5) * 0.6 * energy
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pr = min(255, int(r * brightness + 255 * white))
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pg = min(255, int(g * brightness + 255 * white))
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pb = min(255, int(b * brightness + 255 * white))
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else:
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f = (dist - orb_radius) * inv_glow
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t3 = 1.0 - f
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glow = t3 * t3 * t3 * energy * 0.5
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if ring_active:
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for rr in (ring1_r, ring2_r):
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rd = abs(dist - rr)
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if rd < 4:
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glow += (1.0 - rd * 0.25) * 0.3 * (1.0 - f)
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pr = min(255, int(bg_r + r * glow))
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pg = min(255, int(bg_g + g * glow))
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pb = min(255, int(bg_b + b * glow))
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off = idx * BPP
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buf[off] = pr
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buf[off + 1] = pg
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buf[off + 2] = pb
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return buf
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async def run(self):
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logger.info("Activity video loop started (%dx%d @ %d FPS, orb mode, %d active pixels)",
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WIDTH, HEIGHT, FPS, len(_PIXELS))
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interval = 1.0 / FPS
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t0 = time.monotonic()
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rgba_type = VideoBufferType.Value('RGBA')
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while not self._stopped:
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t = time.monotonic() - t0
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self._update(t)
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buf = self._render_frame()
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frame = VideoFrame(WIDTH, HEIGHT, rgba_type, buf)
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self.source.capture_frame(frame)
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render_time = time.monotonic() - t0 - t
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await asyncio.sleep(max(0.001, interval - render_time))
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logger.info("Activity video loop stopped")
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